Open access
Sep 2026
FQDA-ML: A Hierarchical Machine Learning-Powered Data Quality Framework for Evaluating Agile Sprint Performance: A Case Study in Community Engagement Projects
Agile software development continuously generates operational data through sprint execution, task completion, and effort estimation. However, the quality of these data is rarely assessed before they are used for analytics and predictive modeling, particularly in non-industrial settings. Existing data quality approaches...
M. Pérez-Cargua, Elizabeth Salazar-Jácome, Javier De la Torre-Guzmán et al.
· Future Internet · 0 citations